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End of training
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README.md
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base_model: zainulhakim/240615-wav2vec2-ASR-English
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license: apache-2.0
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- wer
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tags:
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- generated_from_trainer
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model-index:
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- name:
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss:
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- Wer: 0.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size:
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log |
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| 1.766 | 25.0 | 500 | 1.0466 | 0.5714 |
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| 1.766 | 30.0 | 600 | 0.8851 | 0.5584 |
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### Framework versions
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license: apache-2.0
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base_model: facebook/wav2vec2-base
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: 240615-wav2vec2-ASR-Chinese
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# 240615-wav2vec2-ASR-Chinese
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2831
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- Wer: 0.2399
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 5
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 6.25 | 100 | 1.2831 | 0.2399 |
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| No log | 12.5 | 200 | 1.2996 | 0.2657 |
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| No log | 18.75 | 300 | 1.3705 | 0.3092 |
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| No log | 25.0 | 400 | 1.3119 | 0.3269 |
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### Framework versions
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